The OpenTox collection of open resources spanning a range of critical topics in toxicology. These resources are designed to support and enhance your research and understanding in the field of toxicology. Please click on each category to explore detailed resources and enhance your understanding of these critical topics in toxicology.

CATEGORIES:

AOP (Adverse Outcome Pathway): A framework that links molecular-level events to adverse health outcomes, helping to understand and predict the effects of chemical exposures.

Chemical and Biological Databases: Organized collections of toxicological data, including information on chemicals, their properties, and their effects, used for research, risk assessment, and regulatory purposes.

QSAR (Quantitative Structure-Activity Relationship) and Read-Across: Computational methods that predict the toxicity of chemicals based on their molecular structure or by comparing them to similar substances with known effects.

Comprehensive Toxicology:
A broad category covering the study and assessment of toxic effects on cells, organs, systems, and ecosystems. Includes specialized fields like cardiotoxicity, cytotoxicity, and ecotoxicity. This category provides tools for evaluating and managing various toxicological impacts.

Toxicokinetics: The study of how a substance enters, moves through, and exits the body, including absorption, distribution, metabolism, and excretion.

Toxicogenomics: The study of how genetic information influences an organism's response to toxic substances, using techniques such as genomics and transcriptomics.

Text Mining: The use of computational methods to extract relevant information and patterns from large volumes of textual data, used in toxicology to analyse scientific literature and databases.